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Databricks Data Engineer Jobs in Detroit, MI (NOW HIRING)

Work closely with architects and engineering teams to guide data, analytics, and AI solution design ... Databricks * Data Engineering / Data Platforms * AI/ML Programs * Proven experience managing global ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Experience with Databricks notebook workflows * Experience with Terraform

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role combines DevOps, automation, and data engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms. This role ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Databricks * Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

Senior Data Engineer

Southfield, MI

$97K - $132K/yr

Configures, validates, and implements various Azure tools such as but not limited to Databricks ... data file formats and compression techniques * Experience with CI/CD processes and Azure DevOps * ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

Configures, validates, and implements various Azure tools such as but not limited to Databricks ... data file formats and compression techniques * Experience with CI/CD processes and Azure DevOps * ...

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

Configures, validates, and implements various Azure tools such as but not limited to Databricks ... data file formats and compression techniques * Experience with CI/CD processes and Azure DevOps * ...

Data Engineer

Auburn Hills, MI · On-site

$113K - $135K/yr

This role combines DevOps, automation, and data engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms. This role ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Data Engineer

Plymouth, MI · On-site

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Data Engineer

Plymouth, MI · On-site

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Associate Data Engineer - Voice of the Customer Analytics Position Overview The Associate Data ... Databricks, or similar. * Experience or academic exposure to ETL/ELT pipelines, data warehousing ...

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Databricks Data Engineer information

See Detroit, MI salary details

$40.7K

$118.7K

$162.4K

How much do databricks data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for databricks data engineer in Detroit, MI is $118,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,800.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Detroit, MI? The most popular types of Databricks Data Engineer jobs in Detroit, MI are:
What are popular job titles related to Databricks Data Engineer jobs in Detroit, MI? For Databricks Data Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Detroit, MI look for? The top searched job categories for Databricks Data Engineer jobs in Detroit, MI are:
Infographic showing various Databricks Data Engineer job openings in Detroit, MI as of July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $118,689 per year, or $57.1 per hour.
Lead Databricks Engineer / W2 position/12+yrs experience

Lead Databricks Engineer / W2 position/12+yrs experience

VentureSoft Global

Detroit, MI • On-site

$93K - $123K/yr

Other

Posted 21 days ago


Job description

Lead Data Engineer – Databricks Data Modeling & Architecture
Location: Detroit, MI (Onsite)
Work Arrangement: 100% Onsite

Job Summary
We are seeking an experienced Databricks Data Engineer for a 6-month onsite contract engagement in Detroit, MI. The ideal candidate will design and maintain enterprise-grade data models and architectures across data warehouses, data lakes, and lakehouse platforms. This role combines hands-on data modeling expertise with architectural leadership, partnering with business and technology teams to deliver scalable, governed, and high-performance data solutions on Databricks and Microsoft Azure.

Key Responsibilities
Design Enterprise Data Models Develop and maintain conceptual, logical, and physical data models for data warehouses, data lakes, and lakehouse architectures using Databricks and modern data platforms.
Architect Scalable Data Solutions Design end-to-end data architectures leveraging Databricks, Delta Lake, Spark, and cloud platforms to support AI/ML and business intelligence initiatives.
Establish Data Governance & Standards Define data modeling standards, metadata management, data quality frameworks, and master data management governance processes to ensure trusted and compliant data assets.
Lead Data Integration & Optimization Architect and optimize batch, streaming, CDC, and ELT/ETL pipelines, ensuring high performance, scalability, efficiency, and reliability across enterprise data ecosystems.
Collaborate with Business & Technology Teams Partner with business stakeholders, data engineers, analysts, and AI/ML teams to translate requirements into scalable data products, reusable data domains, and enterprise-wide data solutions.

Required Skills & Qualifications
  • Databricks Lakehouse Architecture – proven hands-on design and implementation experience
  • Delta Lake, Unity Catalog, Lakeflow, Auto Loader
  • PySpark and SQL – strong development and optimization skills
  • Data Modeling – 3NF, Dimensional (Star/Snowflake), and Data Vault methodologies
  • Data Governance, Data Quality (DQ), and Metadata Management
  • Cloud Platform: Microsoft Azure (Azure Data Lake Storage, Azure Databricks, and related services)
  • Experience designing and optimizing batch, streaming, CDC, and ELT/ETL data pipelines
  • Strong understanding of data warehouse, data lake, and lakehouse design patterns
  • Excellent communication skills with the ability to engage both technical teams and business stakeholders

Preferred Qualifications
  • Databricks certification (e.g., Databricks Certified Data Engineer Professional or Data Architect)
  • Microsoft Azure certification (e.g., Azure Data Engineer Associate / Solutions Architect)
  • Experience supporting AI/ML and BI workloads on a lakehouse platform
  • Prior experience in an enterprise or large-scale data modernization program
  • Background in regulated or enterprise environments with formal governance requirements